Overcoming Forgetting in Federated Learning on Non-IID Data

Neta Shoham, Tomer Avidor, Aviv Keren +4

We tackle the problem of Federated Learning in the non i.i.d. case, in which local models drift apart, inhibiting learning. Building on an analogy with Lifelong Learning, we adapt…